Gemini Conversational AI, a generative AI model developed by Google, has recently been expanded to support ad campaigns such as Search and Performance Max. The AI model aims to help advertisers create optimized Search campaigns by generating relevant ad content, including keywords, creatives, and extensions. While Gemini has received some criticism, it offers several benefits for advertisers of all levels of experience.
When using Gemini for Search campaigns, the process starts with the standard campaign setup. After selecting goals and logistics, a chat-based experience pops up on the screen where advertisers can provide their website URL. Gemini then uses this information to generate a full Search campaign, including keywords, ads, extensions, and images. This saves advertisers time and effort by automating the process of filling out campaign details.
Gemini is particularly useful for advertisers who are new to Google Ads or have limited experience. It simplifies the campaign creation process by populating fields with relevant information. Smaller advertisers who already have a website can benefit from Gemini’s ability to generate suggestions based on their existing assets.
However, even experienced advertisers can find value in using Gemini. While they may need to make more significant edits to the generated content, Gemini provides ideas and saves time compared to starting from scratch. Advertisers can tweak the output, focus on specific requirements, and ensure that character limits and other guidelines are met.
Despite its benefits, Gemini does have limitations. The quality of the output heavily relies on the quality of the website and input provided. Advertisers may encounter strange or irrelevant suggestions if the website is not well-structured or written. Additionally, Gemini currently lacks features such as the ability to create a second ad group and automatically fill in sitelink descriptions.
Gemini’s capabilities are not limited to Search campaigns. In Performance Max, Gemini can generate images for creative assets. Advertisers can provide prompts, and Gemini will create relevant images for lead generation or image extensions. However, there are certain restrictions on the types of images that can be generated, such as avoiding logos and faces.
Another tool related to Gemini is Product Studio, which allows users to enhance product imagery. This tool, available in Shopify, can remove backgrounds, upscale images, and generate scenes. While it has some limitations and preset options, it can be a valuable resource for smaller advertisers who may not have access to professional photoshoots.
Overall, Gemini is an early-stage AI technology with high potential. It may not replace the need for human input and oversight, but it streamlines the campaign creation process and provides valuable ideas for advertisers. As with any AI tool, it is essential to review and tweak the output to align with brand values and goals. Gemini is expected to improve rapidly, and advertisers who embrace this technology will gain a competitive advantage in the industry.
